5 citations · 9 across the 5 of their papers we have counts for
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cs.IT2022
Syndrome decoding meets multiple instances
Haoxuan Wu, Jincheng Zhuang
The NP-hard problem of decoding random linear codes is crucial to both coding theory and cryptography. In particular, this problem underpins the security of many code based post-qu…
stat.ML2022
Interpretable Latent Variables in Deep State Space Models
Haoxuan Wu, David S. Matteson, Martin T. Wells
We introduce a new version of deep state-space models (DSSMs) that combines a recurrent neural network with a state-space framework to forecast time series data. The model estimate…
stat.ME2022
Drift vs Shift: Decoupling Trends and Changepoint Analysis
Haoxuan Wu, Toryn L. J. Schafer, Sean Ryan +1
We introduce a new approach for decoupling trends (drift) and changepoints (shifts) in time series. Our locally adaptive model-based approach for robustly decoupling combines Bayes…